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      Operator Decision Making Before Starting and While Doing an Activity/Task: Development and Evaluation of Integrated Front-end Priming and Heuristic Risk Management Tools for Operators

      ,

      9th Bi-annual International Conference on Naturalistic Decision Making (NDM9) (NDM)

      Naturalistic Decision Making (NDM9)

      23 - 26 June 2009

      Naturalistic decision making, risk management, front-end priming, computer-based tools, heuristics, uncertainty, systems thinking, cognitive thinking

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          Abstract

          Motivation – This paper describes ongoing PhD research to develop and evaluate practical tools for use by operators to manage and control their risks in a dynamic environment, before starting and while undertaking an activity/task. Research approach – Three different industries are examined: mining, railway and construction. In each, several different comparative high-risk activities are examined; for example, working at heights. Findings/Design – Initial observations are currently taking place, before subsequent detailed data collection. Research limitations/Implications – Final risk management and decision making tools developed will likely differ for application depending on the company’s maturity in risk management and level of risk by task/activity type. Originality/Value – This ongoing research explores the area of risk management and decision making, and is looking to marry together the appropriate common sets of systems and cognitive perspectives. Take away message – Practical tools, possibly computer-based, can be developed to help operators manage and control risks.

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          Most cited references 6

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          Taking stock of naturalistic decision making

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            The knowledge-creating theory revisited: knowledge creation as a synthesizing process

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              Vigilant and hypervigilant decision making.

              Recent studies have argued that deficient decision making under stress is due to adoption of a hypervigilant style of decision making, which has been characterized as disorganized and inefficient. However, under the conditions that characterize many real-world or naturalistic tasks, a hypervigilant pattern of decision making may be adaptive, because the decision maker does not have the luxury of implementing a more elaborate analytic procedure. This study examined the effectiveness of vigilant and hypervigilant decision-making strategies on a naturalistic task. Results indicated that participants who used a hypervigilant decision-making strategy performed better than those who used a vigilant strategy. Implications for decision making in naturalistic environments are discussed.
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                Author and article information

                Contributors
                Conference
                June 2009
                June 2009
                : 362-369
                Affiliations
                PhD Researcher

                Minerals Industry Safety and Health Centre

                University of Queensland, Brisbane, Australia
                Associate Professor of Human Factors

                Minerals Industry Safety and Health Centre

                University of Queensland, Brisbane, Australia
                Article
                10.14236/ewic/NDM2009.60
                © Garry James Marling et al. Published by BCS Learning and Development Ltd. 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9), BCS London

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)
                NDM
                9
                BCS London
                23 - 26 June 2009
                Electronic Workshops in Computing (eWiC)
                Naturalistic Decision Making (NDM9)
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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